Trial reportJournal of the American Medical Informatics Association : JAMIA
Assisting consumer health information retrieval with query recommendations.
Trial report in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Narrative Search Engine for Case Series Assessment Supported by Artificial Intelligence Query Suggestions.Drug safety · 2025Article
- Semantic annotation of consumer health questions.BMC bioinformatics · 2018Article
- Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.Journal of biomedical informatics · 2017Article
- Generating disease-pertinent treatment vocabularies from MEDLINE citations.Journal of biomedical informatics · 2017Article
- Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text.Journal of medical Internet research · 2015Article
- Effects of individual health topic familiarity on activity patterns during health information searches.JMIR medical informatics · 2015Article
- Toward automated consumer question answering: automatically separating consumer questions from professional questions in the healthcare domain.Journal of biomedical informatics · 2011Article
- Collaborative search in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2011Article
- Informed citizen and empowered citizen in health: results from an European survey.BMC family practice · 2011Article
- Query log analysis of an electronic health record search engine.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- Dialect topic modeling for improved consumer medical search.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- Biomedical informatics and translational medicine.Journal of translational medicine · 2010Review
- Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding.Biomedical informatics insights · 2009Article
- Impact of web searching and social feedback on consumer decision making: a prospective online experiment.Journal of medical Internet research · 2008Article
- Consumer health information seeking as hypothesis testing.Journal of the American Medical Informatics Association : JAMIAArticle
- Estimating consumer familiarity with health terminology: a context-based approach.Journal of the American Medical Informatics Association : JAMIAArticle
- Topological analysis of large-scale biomedical terminology structures.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
objectiveHealth information retrieval (HIR) on the Internet has become an important practice for millions of people, many of whom have problems forming effective queries. We have developed and evaluated a tool to assist people in health-related query formation.
designWe developed the Health Information Query Assistant (HIQuA) system. The system suggests alternative/additional query terms related to the user's initial query that can be used as building blocks to construct a better, more specific query. The recommended terms are selected according to their semantic distance from the original query, which is calculated on the basis of concept co-occurrences in medical literature and log data as well as semantic relations in medical vocabularies. MEASUREMENTS: An evaluation of the HIQuA system was conducted and a total of 213 subjects participated in the study. The subjects were randomized into 2 groups. One group was given query recommendations and the other was not. Each subject performed HIR for both a predefined and a self-defined task.
resultsThe study showed that providing HIQuA recommendations resulted in statistically significantly higher rates of successful queries (odds ratio = 1.66, 95% confidence interval = 1.16-2.38), although no statistically significant impact on user satisfaction or the users' ability to accomplish the predefined retrieval task was found.
conclusionProviding semantic-distance-based query recommendations can help consumers with query formation during HIR.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.